Hyperlanguage Large Models (HLM): From Language Intelligence to Behavioral Intelligence
Abstract
Hyperlanguage Large Models (HLM) extend the sequence modeling paradigm of Large Language Models (LLMs) to systems where tokens represent events or actions rather than words. Many real-world domains generate structured behavioral sequences that function as hyperlanguages. This work introduces hyperlanguage as a general symbolic framework and proposes HLM as a model for learning behavioral structures from large-scale event trajectories.
Fields of Study & Subjects
Topic Modeling
Time Series Analysis and Forecasting
Natural Language Processing Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 March 2026
- Language
- EN